Reducing Energy Intensity Research Articles

The energy-saving effect of industrial chain synergistic division: Evidence from China's industrial chain

Under the influence of global trade policies, countries gradually build their entire industrial chains, and industrial policies show a localized development trend. In this context, what impact will the industrial chain localization policy have on the low-carbon transition and high energy efficiency? It is significant for achieving the energy conservation and emission reduction goal. Therefore, this paper uses non-competitive input-output tables from 2002 to 2017 to construct China's domestic industrial chain panel data. We combined the econometric model to explore the influence of industrial chain synergistic division on energy intensity. The research found that the industrial chain synergistic division effect can significantly reduce energy intensity. The results were robust after some endogeneity tests. Secondly, the energy-saving effect brought by the synergistic division is more obvious in high-energy dependence and high-stage industrial chains. There is still room to improve the production efficiency brought by the division network effect. Finally, the industrial chain synergistic division can reduce energy intensity by improving labor productivity, enterprise productivity, and enterprise competition mechanism. This study can provide targeted policy recommendations for China to achieve structural energy-saving. It can also provide a reference for other countries to achieve carbon neutrality.

Issues of forming yields and improving the quality of green fodder based on winter barley

The effect of fertilizers on the yield and quality of green fodder based on winter barley was studied to identify optimal cultivation methods. The research was carried out in 2018–2020 on low-humus heavy-clay drained leached chernozems of Adygea. Double disking at 12–16 cm was used on five backgrounds of fertilizer application: 1. Control sample (0.0 kg/ha a.s.). 2. Background N24Р104 (128 kg/ha a.s.). 3. Background + N30 (158 kg/ha a.s.). 4. Background + N45 (173 kg/ha a.s.). 5. Background + N60 (188 kg/ha a.s.). The formation of productivity took place under conditions of nutritional deficiency. Nitrogen yield was 128.3–303.7; phosphorus yield- 43.7–48.9; potassium yield – 100.9–335.1 kg/ha. It was established that The average yield was established to vary from 3.9 to 15.2 t/ha. The effectiveness of fertilizers was noted. Reliable increases in yield were obtained (1.2–10.5 t/ha, NSR05 1.4–2.4 t/ha). A significant degree of dependence of the crude protein content was revealed (r 0.5; R2 0.29; increase in 14.5–21.2%), a strong correlation of digestible protein (r 0.719; R2 0.517; 12.4–18.2%) and crude fiber (r 0.96; R2 0.92; 23.6–34.8%) from increasing fertilizer standards. It was established that application of fertilizer dose of 188 kg/ha a.is. (N24P104 + N60), using a resource-saving method of soil cultivation, made it possible to obtain the highest level of yield for the varieties of Romance – 15.2 t/ha, Dobrynya – 14.7 t/ha, Kondrat – 14.2 t/ha, Carioca – 7.4 t/ha. This cultivation method was the most optimal and expedient economically and energetically. The payback of 1 kilo of a.s. of fertilizers with grass mixture yield was the highest: 56.5; 45.2; 50.4; 20.2 kg, with increase: 15930; 12750; 22 140; 5700 rub. Reduced energy intensity of the varieties of Dobrynya 2.35 – 1.7; Kondrat 3.11 – 1.84; Romance 3.10 – 1.74 GJ/t, indicated the effectiveness of cultivation techniques.

Промышленный энергоменеджмент: оценка системы принятия решений

Increased concern about the state of the environment and, accordingly, energy problems in the 70s and 80s. last century significantly influenced the development of new policies and strategic decisions to reduce energy losses and its rational and efficient use. Reducing energy consumption through an annual reduction in energy intensity is an indicator of the implementation of energy efficiency policies. The industrial sector, being one of the main consumers of energy, pays great attention to improving its energy performance. Therefore, increasing attention is being paid to understanding the energy status, as well as the barriers and potential opportunities for implementing energy efficiency and energy conservation programs in the enterprise. One of the main roles in increasing the level of energy efficiency and energy saving of industrial enterprises is played by the energy management system, which implements relevant programs and practices. However, due to the lack of information or knowledge, as well as the high degree of uncertainty and risk in energy markets, the problem of decision making is still relevant at the very first stage of implementing an energy management program at an enterprise, so the importance of determining the parameters that should be included in the decision-making process increases. solutions, and developing an energy management strategy in accordance with the complexity and characteristics of each company. Achieving the energy transition will depend not only on the introduction of new and innovative energy-related technologies, but also on significant and in some cases radical changes in the decisions and behavior patterns of decision makers. Given that budget allocation for any investment must have not only financial but also strategic value for the company, this paper aims to identify the parameters that influence decision-making in the energy sector in industry, taking into account the critical role of energy management systems, energy efficiency and energy saving.

Empirical analysis of solutions for metal ore mining sustainability

This study investigates the long-term sustainability of the metal ore mining industry in 16 ASEAN+6 countries participating in the Comprehensive Economic Partnership in East Asia (CEPEA) during the period from 2005 to 2020. It focuses on the impact of various factors, including government spending on public education, Foreign Direct Investment (FDI), inflation rates, green energy resilience, and carbon dioxide (CO2) emissions. The empirical model employed logarithmic transformations and the ARDL approach to analyze the data. The results reveal that increased public education spending leads to a reduction in energy intensity within the metal ore mining sector, with more pronounced effects observed in the long term. FDI has a positive influence on energy intensity in both the short and long term, reflecting a complex relationship. Inflation rates impact energy intensity due to short-term cost pressures and long-term sustainability considerations. Green energy resilience is associated with reduced energy intensity, driven by immediate efficiency gains and long-term sustainability. However, there is a concerning link between CO2 emissions and higher energy intensity in the industry, attributed to energy-intensive processes, resource extraction, regulatory limitations, economic growth, and sustainability requirements. To enhance industry sustainability in CEPEA economies, a comprehensive policy framework is recommended, emphasizing principles of the circular economy, stringent green corporate management systems, promotion of green FDI, education for sustainable development, and the utilization of big data and artificial intelligence to reduce energy intensity.

The energy intensity reduction effect of developing digital economy: Theory and empirical evidence from China

This study develops an endogenous growth model to examine the energy intensity reduction effect of digital economy development, and its influencing mechanisms. The study also conducts empirical analysis using pooled ordinary least squares, two-stage least squares and two-step methods to investigate a provincial dataset from 2011 to 2020 in mainland China. The results indicate that digitalisation reduces energy intensity. We examine endogeneity using historical data related to postal operations in the 1980s, the economic and geographical distance from capital cities to Hangzhou and geographical altitude data as instrumental variables for digital economy development. Further analysis demonstrates that technical, efficiency and structural effects are the primary mediators of energy intensity reduction in the digital economy, which is consistent with the theoretical implications. The results remain robust to a series of tests such as replacing estimators and dependent variables, a California effect test, an environmental Kuznets curve hypothesis test, regional heterogeneity tests and a policy disturbance test. The findings ultimately provide evidence that the digital economy presents a viable new solution to reconcile energy and economic management in the context of China's carbon peak and neutrality objectives.

Efficient Industrial Wastewater and Leachate Evaporation Utilizing Heat Localization in Porous Media

In this paper, an efficient industrial wastewater and leachate evaporation method is proposed and tested experimentally. The goal of this study is to investigate whether the addition of a carbon foam (CF) porous layer can lead to energy savings by evaporating more water mass per unit of energy input. The standard boiling evaporator layout was redesigned by placing the heating element in the upper region of the tank and CF underneath the heat source. The CF purposed to localize the energy in an area by the water's surface and minimize conduction heat losses to the rest of the water. A 90.2% reduction in energy lost to regions outside of the CF isolated control volume, specifically during the evaporator preheating process was observed with the addition of 100 Pores Per Inch (PPI) CF. In addition, a reduction in evaporative energy intensity was observed yielding results of 3.344 , 3.441 , and 3.644 for the 100 PPI, 45 PPI, and 10 PPI tests, respectively. This new evaporation design provides a more energy- and cost-efficient method for reducing the volume of various industrial wastewater and leachate concentrations onsite.

Determinants and Prediction of CO2 Emissions in Tunisia: LMDI Decomposition Approach of an Error Correction Model

In order to be able to meet the commitments with regard to its Nationally Determined Planned Contribution submitted to COP 21, Tunisia is committed to effectively reducing its CO2 emissions. Our study detects the main potential factors responsible for the increase in carbon dioxide emissions in Tunisia using the decomposition method (Logarithmic Mean Divisia Index: LMDI). Then, an analysis of the long-term relationship between CO2 emissions and these main factors is established through an error correction model. The forecast of this cointegration relationship by 2030 shows that Tunisia has significant potential for reducing CO2 emissions, especially through the phenomenon of reduction in energy intensity. However, political intervention beyond energy control is necessary in order to achieve Tunisia's environmental objectives.

Digital revolution: Does industrial chain digitalization lead the energy-saving wave?

The industrial chain digitization (ICD) is a crucial driving force for improving energy efficiency and achieving sustainable development. Based on China’s 2002–2017 input–output table, this paper used the structural path analysis method to construct the ICD panel data. We employed the two-way fixed effects model to explore the impact of ICD on demand-side energy intensity. The research findings are as follows: (1) The ICD can significantly reduce energy intensity. The results were robust after some endogeneity tests. (2) There is heterogeneity between digital manufacturing and service inputs. China’s ICD mainly relies on the automation and intelligence of production equipment to achieve energy-saving. (3) The sectoral digital intermediate input, the intelligence level, and the industrial chain energy flow have a positive moderating effect on the energy-saving effect of ICD. (4) The ICD can reduce energy intensity by improving labor productivity, strengthening the industrial chain synergistic division ability, accelerating intelligent transformation, and promoting technological innovation. This paper provided targeted policy recommendations to promote the ICD level and achieve energy-saving and emission-reduction targets based on the research results.

Energy intensity of the economy in the context of rethinking growth within a limited planet

Sustainable energy is paramount in advancing initiatives about energy conservation and transitioning towards clean, secure, and efficient energy sources. The research objective is to assess the impact of alterations in energy intensity on the socioeconomic development of a country. The study includes monitoring the prospects of countries in the EECCA (Eastern Europe, Caucasus, and Central Asia) region whose energy markets rely on the traditional model of energy production. The panel data method and empirical estimation for correlation calculations are oriented towards the context of Azerbaijan, a major producer of crude oil and natural gas in the Caspian-Black Sea region. The obtained results have demonstrated that the predominant current trend in most countries of the Caspian-Black Sea region is characterized by intensive growth in energy intensity. It is found that Azerbaijan has one of the highest rates of energy self-sufficiency within the developing energy sector. Furthermore, the renewable energy sector is experiencing a decline, while the proliferation of CO2 emissions is characterized by the presence of eco-social consequences stemming from the activities of the energy sector. Empirically, the correlation between energy intensity and both economic development and sustainable social policies has been proven. It has been determined that Azerbaijan's economic policy is directed towards specific measures aimed at reducing energy intensity, which presents a contradiction for countries in the Caspian-Black Sea region. However, advocating for the attainment of Sustainable Development Goal 7 within the framework of the global economy is a necessary and logical measure for enhancing energy efficiency in the context of sustainable economic development. Practical application of the results can be used in the practice of state management of energy sector development as part of achieving the objectives of the global economy.

Energy efficiency policies in an agent-based macroeconomic model

Energy efficiency can help facing the climate crises. Yet the energy intensity has decreased more slowly than required to achieve climate goals. Based on this premise, we build an agent-based model to study the effects of different energy efficiency policies. Policies analysed range from indirect policies – taxes, incentives, and subsidies – to direct technological policies, where a public research laboratory invests in R&D to establish a new technological energy efficiency paradigm. Results reveal that, although most of the policies effectively reduce energy intensity, the research lab is the most efficient in promoting energy efficiency without negative impacts on macroeconomic and public finance conditions. However, the success of this policy requires a long-term commitment, highlighting the importance of complementing this strategy with more “ready to use” measures. The findings also indicate that most policies do not induce significant macroeconomic rebound effects. Concerns about macroeconomic rebound effects may likely be overstated.

Offshore wind power policies and green total factor productivity: empirical evidence from coastal China

IntroductionGreen and high-quality development requires the transformation and upgrading the energy structure. As a clean and efficient new energy, the development of offshore wind power is related to the achievement of green development and the realization of the dual carbon goals.MethodsBased on the perspective of green total factor production, this study aims to explore the impact of offshore wind power policies (OWPPs) on green and high-quality development. Taking 11 coastal areas of China from 2004 to 2020 as samples, this paper empirically tested the impact of OWPPs on green total factor productivity (GTFP) by using propensity score matching difference-in-differences method (PSM-DID).Results and discussionThe results show that OWPPs have a significant positive impact on GTFP. The robustness test further verifies the results, and the provincial difference is significant. By stimulating technological innovation and reducing energy intensity, OWPPs have improved GTFP, but increasing marketization level is a long way off.

Industry 4.0 and energy in manufacturing sectors in China

Digitalisation in manufacturing (or “industry 4.0”) is expected to improve energy efficiency and thus reduce energy intensity in manufacturing, but studies show that it may also increase energy consumption. In this article, we investigate to what extent the degree of industry 4.0 is linked to energy consumption and energy intensity in ten Chinese manufacturing sectors between 2006 and 2019. We approximate the degree of industry 4.0 by combining data on a) patent intensity of industry 4.0-related technologies and b) industrial robot intensity. Our results indicate that there is no significant overall relationship between the degree of industry 4.0 and energy consumption or energy intensity, in contrast to some earlier studies in the Chinese context which find energy intensity reducing effects of digitalisation. We argue that industry 4.0 in China might have fewer energy related benefits than expected by politics and industry. Growth-inducing effects and outsourcing of energy-intensive manufacturing tasks, for instance, may counteract efficiency-related savings. To decarbonise manufacturing in line with China's proclaimed objective of carbon neutrality by 2060, policy makers and industry should identify specific opportunities and take seriously risks of industry 4.0. The focus should be on reducing absolute energy consumption as opposed to energy intensity, which may disguise digital rebound effects; and on integrating renewable energies, particularly in the most energy-intensive sectors (metals, chemicals, non-metallic minerals).

Analysis of influencing factors of industrial green and low-carbon transformation under the background of “double carbon”: evidence from Sichuan province, China

Introduction: Industrial green and low-carbon transformation is the key to improve economic development and necessary process to achieve the goal of the carbon peaking and carbon neutrality. Few studies have been done on the decomposition of carbon emission factors in industries and sub-industries and the impact of green and low-carbon transformation about carbon emission in each industry quantitatively. However, the study of industries and sub-industries can comprehensively analyze the development path of green and low-carbon transformation from a more detailed perspective, and provide scientific reasons for the optimization of industrial structure and energy structure.Methods: The extended Kaya identity for industrial carbon emission is constructed to obtain four factors influencing industrial carbon emission: economic output effect, industrial structure effect, energy intensity effect, carbon consumption intensity in this paper. Then, the LMDI decomposition method is combined with the above identity to innovatively obtain the contribution value of carbon emissions from the perspective of overall, industrial sector and tertiary industry. Then, based on the results of factor decomposition, a multi-index scenario prediction model is constructed. On this basis, the extreme learning machine model optimized by particle swarm optimization (PSO-ELM) was used to predict the influence of the changes in the driving factors on the reduction of industrial carbon emissions. By setting the baseline and industrial green and low-carbon transformation scenarios, it is predicted that industrial carbon emission in Sichuan Province.Results and discussion: (1) Economic output effect always promotes the growth of industrial carbon emissions, and with the adjustment of industrial structure and energy structure, the other three factors begin to restrain the growth of carbon emissions. (2) Scenario prediction shows that without considering the economic costs of transformation, improving carbon emission reduction efficiency can be obtained through accelerating the rate of change of industrial structure of the secondary and tertiary industries, increasing the proportion of energy intensity reduction, and strengthening the proportion of non-fossil energy use.

Renewables, taxes and competitive markets: the role of energy policies on the EU’s sustainable energy consumption

AbstractIn recent years, the European Union has made sustainable consumption and production a political priority, to address economic and social development within the capacity of the ecosystem. To this end, it has put in place several actions related to resource efficiency, energy taxation and the promotion of renewable energies. This has been positive in terms of production, but less progress has been achieved in consumption. Greater understanding of the factors that influence sustainable energy consumption is particularly important. This paper investigates the effects of energy demand policies (energy taxes) and energy supply policies (renewable energies development, competitive energy markets and eco-innovation) on sustainable energy consumption in the EU-28 from 2008 to 2019. This research employs a panel data model to investigate the study’s hypotheses. Our results show that energy tax policies and clean energy have reduced energy intensity. However, electricity prices have been the greatest determinant in reducing total energy consumption. In light of its findings, this paper makes recommendations for several crucial measures for sustainable energy consumption to policymakers. Graphical abstract

The potential role of renewable power penetration in energy intensity reduction: Evidence from the Chinese provincial electricity sector

This study analyzed the role of renewable power penetration in energy intensity reduction in the provincial electricity sector of China over the period 2006–2016. We determined the net and total effects of renewable power penetration for each provincial electricity sector and separated out the driving forces of the net effect of renewable power penetration using an estimated translog cost function and the difference in difference method. This enabled us to clarify the reasons for the decline in energy intensity caused by renewable power penetration. We found that compared with renewable power penetration, thermal efficiency played a major role in the declining energy intensity, but the potential total role of renewable power penetration cannot be ignored, especially for the initial penetration effect of renewable power. Most of the decline in energy intensity caused by renewable power penetration during 2006–2016 could be attributed to energy price and capital substitution. Our findings have important implications for the Chinese government in the future development of renewable energy and energy efficiency policies.

Research on the spatial spillover effect of China's carbon emission trading on total-factor carbon emission efficiency of the power industry.

Improving the carbon emission efficiency in the power industry is a crucial step to achieve China's "double carbon" goal. Carbon emission trading (CET) is an important tool for carbon emission reduction in the power industry. This paper collects data on the power industry of 30 provinces in China from 2005 to 2020 and applies an undesirable super-efficiency epsilon-based measure (EBM) model to measure the total-factor carbon emission efficiency of the power industry (CEEP). A spatial difference-in-differences (SDID) model is constructed to analyze the spatial spillover effects of China's CET on CEEP. Then, a spatial mediating effect model is employed to explore the influence mechanism of CET. The results show that (1) during the sample period, CEEP shows a trend of fluctuating growth, and the overall level of CEEP is still relatively low; (2) CET has a significant promotion effect on CEEP, resulting in an average increase of 6.02% in the efficiency value of the pilot areas; (3) the spatial spillover effect test proves that CET not only improves the CEEP in the pilot areas, but also promotes the improvement of CEEP in the adjacent areas; and (4) the influence mechanism test shows that CET can improve CEEP by reducing energy intensity, promoting technological progress, and upgrading industrial structure. This study provides a new perspective for the measurement of CEEP and expands the research on the emission reduction effect of CET in the power industry. Finally, based on the research results, this study proposes targeted suggestions to provide reference for the government to formulate emission reduction policies.

Multiscale Process Intensification of Waste Valorization Reactions.

ConspectusThe central theme of this Account is the development of intensified and sustainable chemical processes for the sequestration of CO2 in synergism with the utilization of wastes of industrial, urban, and agricultural origins. A challenge when working with solid waste-fluid reactions is that mass transfer limitations across solid-liquid, solid-gas, and gas-liquid interfaces and unfavorable thermodynamics lead to slow reaction rates, incomplete reaction conversions, high energy expenditure and processing costs, and inadequate product properties. The traditional macroscale approaches to overcoming slurry reaction limitations can be effective; however, they come at a cost to the environment. In the treatment or valorization of low-grade and waste resources, such conventional approaches are often unfeasible on an industrial scale. Sustainable solutions are thus needed.In the last six years, we have been exploring and developing approaches to overcoming reaction rate limitations of slurry reactions of environmental relevance by concurrently applying process intensification strategies and multiscale engineering approaches. The scientific approach has relied on laboratory-scale experiments to test and refine the devised multiscale process intensification strategies, with thermodynamic and computational modeling work supporting the experimental work and with advanced characterization techniques being used to elucidate reaction and transport mechanisms and aid the development of nanoscale reaction models and micro- and macroscale process models. The research streams, associated with the four key references, discussed next are (a) brine carbonation; (b) mineral carbonation and enhanced weathering; (c) process intensification and integration; and (d) characterization techniques.Within the four research streams, a number of mineral carbonation processes have been investigated and can be classified as (i) ambient weathering and carbonation; (ii) gas-(wet) solid accelerated carbonation; (iii) aqueous accelerated carbonation; (iv) supercritical accelerated carbonation; and (v) CO2 mineralization from brine. In some cases, the research was aimed at producing valuable products with reduced environmental risk or a reduced carbon footprint, such as an organomineral fertilizer and zeolites. In other cases, the aim was to assess the reactivity of minerals to match the right feedstock with the right carbonation process, in view of maximizing net carbon sequestration. There were also cases where the carbonation process was reimagined by the use of innovative reaction conditions, reactors, and reagents. The experience with accelerated weathering and carbonation in engineered processes has been translated into the field of enhanced rock weathering (ERW) in agriculture, where the multidisciplinary approach used has served to advance ERW science and technology in ways that have had a resounding effect on recent commercial deployment.The completed research serves to encourage the adoption of process intensification technologies in place of conventional processes, in industry and among the research community, and to catalyze the development of the types of sustainable processes required by the chemical, metallurgical, and minerals industries (which are critical to the green transition) to reduce their environmental impact and carbon emissions. Moreover, the multiscale process intensification approaches developed may also be extended to other industrial, urban, and agricultural processes where the reduction of energy intensity, carbon intensity, and environmental footprint could be achieved.

How does industry-university-research collaborative innovation affect energy intensity in China: a novel explanation based on political turnover

As a form of integrating knowledge resources and promoting technological innovation, industry-university-research (IUR) collaborative innovation is thought to influence energy intensity reduction. However, the boundary conditions of IUR collaborative innovation affecting energy intensity have yet to be discussed. To fill this gap, we explore the impact of IUR collaborative innovation on energy intensity and the role of political turnover in its influencing mechanism, using a panel dataset of 30 Chinese provinces from 2010 to 2018. IUR collaborative innovation inhibits energy intensity, but this effect is only significant in the eastern region. Interestingly, political turnover positively moderates the inhibitory effect of IUR collaborative innovation on energy intensity. However, this moderating effect is only significant in the central and western regions. Moreover, the robustness tests provide abundant evidence to support the above findings. Finally, some policy implications are suggested.

Adaptive thermal comfort in the offices of three climates of North-East India

Buildings not only provide shelter to the occupants but also security, safety and comfort, as well as signifying economic and socio-cultural status. The high energy intensity of buildings has become a matter of concern worldwide in the context of climate change and global warming. Adaptive comfort principles and guidelines afford greater design opportunities for reduced energy intensity without compromising occupant thermal comfort and indoor environmental quality performance. However, thermal adaptation opportunities of office occupants in the North-Eastern part of India are rarely addressed by previous thermal comfort studies conducted in the Indian subcontinent. A yearlong questionnaire-based adaptive thermal comfort study with concurrent indoor environmental measurements was conducted in naturally ventilated office buildings located in three locations, i.e., Tezpur, Imphal and Shillong, representing the climatic zones of North-East India. A total of 2326 valid questionnaire responses were collected. ASHRAE Class-II field study protocols, seven-point thermal sensation and five-point preference scales were used to collect objective and subjective comfort assessments. It was found that the clothing insulation (clo) levels worn by occupants varied non-linearly with indoor temperatures. The estimated preferred temperatures for building occupants in Tezpur, Imphal and Shillong were 24 °C, 23.5 °C and 22 °C, respectively. Probit analysis of thermal sensation data indicated that the indoor temperature stimulus associated with a shift of one thermal sensation unit differed between the warm and cool side of the 7-point thermal sensation scale. Increasing indoor air velocity up to 0.8m/s shifted the upper threshold of discomfort to 32 °C. It was also found that 80% of office occupants were comfortable within the temperature range of 25 °C–30 °C. The adaptive comfort model derived from the current database shows lower sensitivity of subjects to outdoor temperature changes compared to existing International standards like ASHRAE Standard 55 or EN16798. The present study demonstrates the potential for low-energy, naturally ventilated office design strategies in similar climatic conditions in North-East India and other parts of the world. Above all, it enriches the worldwide thermal comfort database.

Spatial evolution and decomposition of energy-related CO2 emissions in China's mining industry: from the perspective of regional heterogeneity.

To ensure China's energy security, the mining industry faces increasing emissions reduction and energy conservation pressures. This study combined index and production-theoretical decomposition analyses to decompose the energy-related CO2 emissions in mining industry (ERCEMI) influencing factors into seven major effects and adopted a gravity model to dynamically visualize the transfer path and gravity distribution from 2000 to 2015. As investment effects were introduced into the decomposition analysis, the results fully considered the regional heterogeneity and spatiotemporal dynamics. The main findings were as follows: (i) a typical heavy emissions trend along the Heihe-Tengchong line, with a concentration of large ERCEMI values; (ii) the gravity center of ERCEMI had shifted to the southwest, and the migration trends were divided into three stages; (iii) the ERCEMI had strong regional heterogeneity, with a diffusion trend from north to south and shrinking from east to west; (iv) the potential energy intensity and investment efficiency effects had significantly inhibited the ERCEMI, while the investment scale had boosted it. Implications for regional layouts, energy intensity reductions, and investment optimization are discussed. This research provides a comprehensive regional analysis for ERCEMI reductions and the sustainable development of the mining industry and provides a reference for local industrial development planning.